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Development and validation of a risk model for noninvasive detection of cancer in oral potentially malignant disorders using DNA image cytometry

OBJECTIVE: To elucidate whether DNA aneuploidy was an independent discriminator for carcinoma within oral potentially malignant disorders (OPMDs), and further establish and validate a risk model based on DNA aneuploidy for the detection of oral cancer. METHODS: A total of 810 consecutive patients wi...

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Autores principales: Li, Chenxi, Zhou, Yongmei, Deng, Yiwen, Shen, Xuemin, Shi, Linjun, Liu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Compuscript 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8330543/
https://www.ncbi.nlm.nih.gov/pubmed/34018388
http://dx.doi.org/10.20892/j.issn.2095-3941.2020.0531
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author Li, Chenxi
Zhou, Yongmei
Deng, Yiwen
Shen, Xuemin
Shi, Linjun
Liu, Wei
author_facet Li, Chenxi
Zhou, Yongmei
Deng, Yiwen
Shen, Xuemin
Shi, Linjun
Liu, Wei
author_sort Li, Chenxi
collection PubMed
description OBJECTIVE: To elucidate whether DNA aneuploidy was an independent discriminator for carcinoma within oral potentially malignant disorders (OPMDs), and further establish and validate a risk model based on DNA aneuploidy for the detection of oral cancer. METHODS: A total of 810 consecutive patients with OPMD were prospectively enrolled from March 2013 to December 2018, and divided into a training set (n = 608) and a test set (n = 202). Brushing and biopsy samples from each patient were processed by DNA- DNA image cytometry and histopathological examination, respectively. RESULTS: DNA aneuploidy of an outside DNA index ≥ 3.5 in OPMD was an independent marker strongly associated with malignant risk [adjusted odds ratio: 13.04; 95% confidence interval (CI): 5.46–31.14]. In the training and test sets, the area under the curve (AUC) was 0.87 (95% CI: 0.82–0.91) and 0.77 (95% CI: 0.57–0.97), respectively, for detecting carcinoma in OPMD patients. The independent risk factors of lateral/ventral tongue and non-homogenous type combined with a risk model built with a multivariate logistic regression revealed a more favorable diagnostic efficacy associated with the training set (AUC: 0.93; 95% CI: 0.91–0.96) and test set (AUC: 0.94; 95% CI: 0.90–0.98). The sensitivity and specificity of carcinoma detection within OPMD was improved to 100% and 88.1%, respectively. CONCLUSIONS: This large-scale diagnostic study established a risk model based on DNA aneuploidy that consisted of a noninvasive strategy with lateral/ventral tongue and non-homogenous features. The results showed favorable diagnostic efficacy for detecting carcinoma within OPMD, irrespective of the clinical and pathological diagnoses of OPMD. Multicenter validation and longitudinal studies are warranted to evaluate community practices and clinical applications.
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spelling pubmed-83305432021-08-09 Development and validation of a risk model for noninvasive detection of cancer in oral potentially malignant disorders using DNA image cytometry Li, Chenxi Zhou, Yongmei Deng, Yiwen Shen, Xuemin Shi, Linjun Liu, Wei Cancer Biol Med Original Article OBJECTIVE: To elucidate whether DNA aneuploidy was an independent discriminator for carcinoma within oral potentially malignant disorders (OPMDs), and further establish and validate a risk model based on DNA aneuploidy for the detection of oral cancer. METHODS: A total of 810 consecutive patients with OPMD were prospectively enrolled from March 2013 to December 2018, and divided into a training set (n = 608) and a test set (n = 202). Brushing and biopsy samples from each patient were processed by DNA- DNA image cytometry and histopathological examination, respectively. RESULTS: DNA aneuploidy of an outside DNA index ≥ 3.5 in OPMD was an independent marker strongly associated with malignant risk [adjusted odds ratio: 13.04; 95% confidence interval (CI): 5.46–31.14]. In the training and test sets, the area under the curve (AUC) was 0.87 (95% CI: 0.82–0.91) and 0.77 (95% CI: 0.57–0.97), respectively, for detecting carcinoma in OPMD patients. The independent risk factors of lateral/ventral tongue and non-homogenous type combined with a risk model built with a multivariate logistic regression revealed a more favorable diagnostic efficacy associated with the training set (AUC: 0.93; 95% CI: 0.91–0.96) and test set (AUC: 0.94; 95% CI: 0.90–0.98). The sensitivity and specificity of carcinoma detection within OPMD was improved to 100% and 88.1%, respectively. CONCLUSIONS: This large-scale diagnostic study established a risk model based on DNA aneuploidy that consisted of a noninvasive strategy with lateral/ventral tongue and non-homogenous features. The results showed favorable diagnostic efficacy for detecting carcinoma within OPMD, irrespective of the clinical and pathological diagnoses of OPMD. Multicenter validation and longitudinal studies are warranted to evaluate community practices and clinical applications. Compuscript 2021-08-15 2021-08-15 /pmc/articles/PMC8330543/ /pubmed/34018388 http://dx.doi.org/10.20892/j.issn.2095-3941.2020.0531 Text en Copyright: © 2021, Cancer Biology & Medicine https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY) 4.0 (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
spellingShingle Original Article
Li, Chenxi
Zhou, Yongmei
Deng, Yiwen
Shen, Xuemin
Shi, Linjun
Liu, Wei
Development and validation of a risk model for noninvasive detection of cancer in oral potentially malignant disorders using DNA image cytometry
title Development and validation of a risk model for noninvasive detection of cancer in oral potentially malignant disorders using DNA image cytometry
title_full Development and validation of a risk model for noninvasive detection of cancer in oral potentially malignant disorders using DNA image cytometry
title_fullStr Development and validation of a risk model for noninvasive detection of cancer in oral potentially malignant disorders using DNA image cytometry
title_full_unstemmed Development and validation of a risk model for noninvasive detection of cancer in oral potentially malignant disorders using DNA image cytometry
title_short Development and validation of a risk model for noninvasive detection of cancer in oral potentially malignant disorders using DNA image cytometry
title_sort development and validation of a risk model for noninvasive detection of cancer in oral potentially malignant disorders using dna image cytometry
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8330543/
https://www.ncbi.nlm.nih.gov/pubmed/34018388
http://dx.doi.org/10.20892/j.issn.2095-3941.2020.0531
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